PXD025941
PXD025941 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Deep Semi-Supervised Learning Improves Universal Peptide Identification of Shotgun Proteomics Data |
Description | Data and results for paper, "Deep Semi-Supervised Learning Improves Universal Peptide Identification of Shotgun Proteomics Data," found at: https://doi.org/10.1101/2020.11.12.380881 Deep learning software for PSM recalibration, called ProteoTorch-DNN, available at: https://github.com/proteoTorch/proteoTorch with documentation: https://proteotorch.readthedocs.io/en/latest/ |
HostingRepository | MassIVE |
AnnounceDate | 2021-05-11 |
AnnouncementXML | Submission_2021-05-11_12:58:48.376.xml |
DigitalObjectIdentifier | |
ReviewLevel | Non peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | John Halloran |
SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; scientific name: SARS coronavirus; NCBI TaxID: 227859; scientific name: Plasmodium; NCBI TaxID: 5820; |
ModificationList | Carbamidomethyl |
Instrument | Orbitrap Fusion; Orbitrap Fusion ETD; LTQ Orbitrap Elite; LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2021-05-11 09:39:47 | ID requested | |
⏵ 1 | 2021-05-11 12:58:48 | announced |
Publication List
no publication |
Keyword List
submitter keyword: Deep Learning, Prosit, PSM Recalibration, Percolator, Deep Neural Networks, Machine Learning |
Contact List
John Timothy Halloran | |
---|---|
contact affiliation | University of California, Davis |
contact email | jthalloran@ucdavis.edu |
lab head | |
John Halloran | |
contact affiliation | University of California, Davis |
contact email | jthalloran@ucdavis.edu |
dataset submitter |
Full Dataset Link List
MassIVE dataset URI |
Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/MSV000087402/ |